code: def test_training_arg(self):
      class Canary(layers.Layer):
          def call(self, x, training=False):
              assert training
              return x
  
          def compute_output_spec(self, x, training=False):
              return backend.KerasTensor(x.shape, dtype=x.dtype)
  
      inputs = Input(shape=(3,), batch_size=2)
      outputs = Canary()(inputs)
      model = Functional(inputs, outputs)
      model(np.random.random((2, 3)), training=True)
  
imports: import warnings
  import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import testing
  from keras.layers.core.input_layer import Input
  from keras.layers.input_spec import InputSpec
  from keras.models import Functional
  from keras.models import Model
label_desc: Use image node_id 9 for calling the FunctionalTest obj's underlying member method code with example usage: obj.test_training_arg() and returns: x, backend